Saccades reset the priority of visual information to access awareness

Ding, Yun; Naber, Marnix; Paffen, Chris; Fabius, Jasper H.; Stigchel, Stefan Van der

doi:10.1016/j.visres.2020.04.010

Cited by 2 publications

(3 citation statements)

References 56 publications

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“…It can quickly filter out useful information from a large amount of information and identify it. Most of the programs formulated by artificial intelligence can effectively improve the security of online shopping [14]. As is known to all, the traditional network technology requires a lot of manpower and material resources, while the emerging artificial intelligence technology consumes a very small amount of resources, and the calculation speed of the optimal solution is faster.…”

Section: Artificial Intelligence Technology Andmentioning

confidence: 99%

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Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

Yan¹,

Zhang²

2022

Mobile Information Systems

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With the rapid development of the Internet and social economy, in the process of online shopping, a series of problems frequently occur, the most serious of which is tort and rights protection, but laws and regulations often lag behind the development of e-commerce transactions. Artificial intelligence technology embodies the exchange and use of digital information, which is an inevitable trend in the development of modern society. The research object of this research is students. Based on the connotation and significance of artificial intelligence technology, it aims to put forward effective solutions and suggestions to the law problems that arise in the online shopping process of students through some data analysis obtained by artificial intelligence technology, so as to provide reference for guiding student groups to form correct consumption concepts and promoting relevant institutions to maintain a safe and reasonable online shopping mechanism and platform environment. According to the above goals, this research combines the Agent technology in the field of artificial intelligence, proposes and builds a legal protection system framework that meets the requirements of online shoppers, discusses how to use the law to regulate infringement and rights protection in the process of online shopping, and has implications for improving the legal system in the process of online shopping.

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Section: Artificial Intelligence Technology Andmentioning

confidence: 99%

“…In order to make this error as small as possible, a minimum value ε is defined, which represents the minimum value between the sample data and the criterion function. e calculation process of the minimum error is as given by formula (14).…”

Section: Legal Protection Mechanismmentioning

confidence: 99%

Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

Yan¹,

Zhang²

2022

Mobile Information Systems

View full text Add to dashboard Cite

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“…Static analysis refers to analyzing an application by examining its structure and code without execution. Static analysis becomes less efective when the applications use code obfuscation techniques for hiding the code semantics [4].…”

Section: Introductionmentioning

confidence: 99%

KTSDroid: A Framework for Android Malware Categorization Using the Kernel Task Structure

Khalid

Imran

Hussain

2023

Security and Communication Networks

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The penetration of malicious applications in the Android market has enhanced the significance of designing malware mitigation systems for Android. Malware detection systems are being developed by examining applications using static and dynamic analysis techniques. The use of code obfuscation has highlighted the importance of dynamic analysis as many static analysis schemes can be evaded by code obfuscation strategies. In order to record the true working of the application, a volatile memory-based solution for application analysis is presented in this study. Time-based memory dumps are collected after interactions with an application. Process-specific artifacts of the application under analysis are extracted by examining the kernel task structure of memory. The features in the kernel task structure belong to nine broad categories based on their semantics. An important contribution of the study is the analysis of the kernel task structure for determining the set of effective categories and features for Android malware categorization. Three of the most important categories and fourteen valuable features are reported. The proposed system categorizes the applications into five classes: adware, banking Trojans, riskware, SMS Trojans, and benign. The proposed system is able to categorize applications with an average F1-score of 0.984, which is the highest score reported so far for multiclass Android malware categorization with a minimum number of kernel task structure-based features.

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Saccades reset the priority of visual information to access awareness

Cited by 2 publications

References 56 publications

Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

Construction of Online Shopping Legal Protection Mechanism Based on Artificial Intelligence Technology

KTSDroid: A Framework for Android Malware Categorization Using the Kernel Task Structure

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